Highlit text: 3 5 6 Ngram: 1 Map: 1 Network: 10 7 Flow Chart: 1 1 Bar: 1 2 Cellular automata: 1
+--------+--------+--------+-------+
| bookid | word1 | word2 | count |
+--------+--------+--------+-------+
| 31 | 589 | 55019 | 1 |
| 38 | 101 | 708 | 1 |
| 41 | 671 | 3341 | 1 |
| 45 | 13 | 86 | 2 |
| 50 | 108 | 1962 | 1 |
| 52 | 132 | 34 | 1 |
| 54 | 674 | 28 | 1 |
| 54 | 2 | 5062 | 1 |
| 56 | 7 | 1646 | 1 |
| 58 | 17406 | 6955 | 1 |
| 69 | 1979 | 58 | 1 |
| 70 | 138 | 223460 | 2 |
| 90 | 5 | 371422 | 1 |
| 91 | 2841 | 671 | 1 |
| 93 | 2844 | 2380 | 1 |
| 96 | 132 | 100 | 1 |
| 105 | 50 | 415 | 1 |
| 106 | 18 | 385 | 1 |
| 107 | 5072 | 4 | 1 |
| 107 | 60 | 690 | 1 |
| 108 | 182 | 131 | 1 |
| 108 | 2482 | 189 | 1 |
| 108 | 5 | 25972 | 1 |
| 111 | 2 | 7363 | 1 |
| 114 | 209340 | 605 | 1 |
+--------+--------+--------+-------+
+--------+------+---------+-------+-----------------------------------+
| bookid | year | nwords | state | title |
+--------+------+---------+-------+-----------------------------------+
| 245588 | 0 | 2613020 | NULL | Encyclop... |
| 282996 | 1997 | 165288 | AZ | Richard Hooker and the constru... |
| 519641 | 1997 | 219423 | AZ | Medieval Gospel of Nicodemus... |
| 907596 | 1876 | 25379 | NY | science and art of education... |
| 93322 | 1997 | 2466 | NY | Clueless in Tokyo... |
| 7807 | 1997 | 65108 | AZ | poems of Alcimus Ecdicius Avit... |
| 492289 | 1996 | 123463 | KY | McKendree College... |
| 987841 | 1993 | 38083 | DC | Global climate change... |
| 679078 | 1993 | 46723 | DC | North American Free Trade Agre... |
| 244189 | 1993 | 41330 | DC | Seafood safety... |
| 609042 | 1993 | 71475 | DC | North American Free Trade Agre... |
| 77609 | 1993 | 100893 | DC | Pending indoor air quality and... |
| 108978 | 1993 | 103274 | DC | Federal disaster policy and fu... |
| 961066 | 1993 | 52310 | DC | Pending nuclear legislation... |
| 190457 | 1993 | 111241 | DC | Impacts of trade agreements on... |
| 853339 | 1993 | 26997 | DC | Developments in the Middle Eas... |
| 818336 | 1993 | 31074 | DC | Review of major Census Bureau ... |
| 368923 | 1993 | 63090 | DC | Environmental aspects of the N... |
| 349342 | 1993 | 45708 | DC | Operations of the Congress... |
| 120630 | 1993 | 47451 | DC | Independent Counsel Reauthoriz... |
| 286820 | 1993 | 18680 | DC | Nomination of James Lee Witt... |
| 488341 | 1993 | 38158 | DC | Impact of federal mandated mar... |
| 298481 | 1993 | 163082 | DC | Mineral Exploration and Develo... |
+--------+------+---------+-------+-----------------------------------+
+--------+--------+--------+-------+
| bookid | word1 | word2 | count |
+--------+--------+--------+-------+
| 31 | 589 | 55019 | 1 |
| 38 | 101 | 708 | 1 |
| 41 | 671 | 3341 | 1 |
| 45 | 13 | 86 | 2 |
| 50 | 108 | 1962 | 1 |
| 52 | 132 | 34 | 1 |
| 54 | 674 | 28 | 1 |
| 54 | 2 | 5062 | 1 |
| 56 | 7 | 1646 | 1 |
| 58 | 17406 | 6955 | 1 |
| 69 | 1979 | 58 | 1 |
| 70 | 138 | 223460 | 2 |
| 90 | 5 | 371422 | 1 |
| 91 | 2841 | 671 | 1 |
| 107 | 5072 | 4 | 1 |
| 107 | 60 | 690 | 1 |
| 108 | 182 | 131 | 1 |
| 108 | 2482 | 189 | 1 |
| 108 | 5 | 25972 | 1 |
| 111 | 2 | 7363 | 1 |
| 114 | 209340 | 605 | 1 |
+--------+--------+--------+-------+
+--------+-------------+-------------+------------+----------+
| wordid | casesens | lowercase | stem | IDF |
+--------+-------------+-------------+------------+----------+
| 4211 | wore | wore | wore | 0.866897 |
| 5088 | HE | he | he | 1.47661 |
| 8598 | Pieces | pieces | piece | 2.72216 |
| 19913 | Japan's | japan's | NULL | 2.86523 |
| 23351 | testament | testament | Testament | 2.34616 |
| 24504 | legged | legged | legs | 1.99477 |
| 27639 | como | como | como | 3.73671 |
| 29339 | shrinkage | shrinkage | shrinkage | 2.71933 |
| 35089 | Nina | nina | Nina | 3.09251 |
| 45784 | BERKELEY | berkeley | Berkeley | 3.23562 |
| 47416 | Heretical | heretical | heretics | 5.48773 |
| 52509 | cudgel | cudgel | cudgel | 3.79054 |
| 58293 | divino | divino | divino | 4.6265 |
| 62064 | ironing | ironing | iron | 3.14454 |
| 71846 | QUEEN'S | queen's | NULL | 4.78766 |
| 71884 | Gentoo | gentoo | Gentoo | 6.16556 |
| 77941 | attenuating | attenuating | attenuated | 4.15506 |
| 78677 | synthetase | synthetase | synthetase | 4.62012 |
| 81473 | 2020 | 2020 | NULL | 3.40792 |
| 81841 | quartets | quartets | quartet | 4.40757 |
| 85370 | shallop | shallop | shallop | 5.08674 |
| 87977 | warres | warres | warre | 5.57029 |
+--------+-------------+-------------+------------+----------+
SELECT
year,classification,
IFNULL(numerator.WordCount,0)*100000000/IFNULL(denominator.WordCount,0)/100 as WordsPerMillion
FROM
(
SELECT
lc1,year,
sum(main.count) as WordCount
FROM
fastcat
JOIN
master_bookcounts as main
ON (fastcat.bookid=main.bookid)
JOIN ( wordsheap as words1) ON (main.wordid = words1.wordid)
WHERE
(( ( (year<=1922) ) ) AND ( ( (year>=1850) ) ))
AND (( ( (words1.casesens = (SELECT casesens FROM wordsheap WHERE
casesens='library')) ) ) OR
( ( (words1.casesens = (SELECT casesens FROM wordsheap WHERE casesens='libraries')) ) ))
GROUP BY
lc1,year
) as numerator
RIGHT OUTER JOIN
(
SELECT
lc1,year,
sum(nwords) as WordCount
FROM
fastcat
WHERE
(( ( (year<=1922) ) ) AND ( ( (year>=1850) ) )) AND TRUE
GROUP BY
lc1,year
) as denominator
USING (lc1,year )
JOIN LCC USING (lc1)
GROUP BY lc1,year;
{
"method": "return_tsv",
"counttype":["WordsPerMillion"],
"search_limits": {
"country": ["USA","UK"],
"word": ["natural selection"]
},
"groups": [
"year"
],
"database": "OL"
}
year WordsPerMillion
[...]
1907 340.20526777
1908 341.83114533
1909 295.24911692
1910 282.24802327
1911 284.92406591
1912 283.89805752
1913 296.87614627
1914 332.76147647
1915 446.39889626
1916 428.87396542
1917 527.51044740
1918 647.48528263
1919 653.05159042
1920 507.23177682
1921 501.77615474
[...]
{
"method": "return_tsv",
"counttype":["WordsPerMillion"],
"search_limits": {"word": [ "natural selection" ]},
"groups": ["state","year"],
"database": "OL"
}
state year WordsPerMillion
[...]
NJ 1901 0E-8
NJ 1902 0E-8
NJ 1903 0.52162392
NJ 1904 0E-8
NJ 1905 0E-8
NJ 1906 0E-8
NJ 1907 0.52719259
NJ 1908 0.59582825
NJ 1909 0.23120944
NJ 1910 1.08461634
[...]
{
"method": "return_tsv",
"counttype":["WordCount"],
"search_limits": {
"year":[1877],
"state":["RI"]
},
"groups": ["unigram","year"],
"database": "presidio"}
unigram year WordCount
[...]
resolve 1877 8
resolved 1877 272
resolves 1877 10
resolving 1877 2
resort 1877 10
resorted 1877 2
resorts 1877 4
resound 1877 1
[...c. 23,000 total rows...]
![]() |
Topic ModelingNetwork AnalysisGeospatial visualization/Named Entity Recognition |
|
Relationships among novels Matthew Jockers and Elijah Meeks |
Whatever vision of the digital humanities is proclaimed, it will have little place for the likes of me and for the kind of criticism I practice: a criticism that narrows meaning to the significances designed by an author, a criticism that generalizes from a text as small as half a line, a criticism that insists on the distinction between the true and the false, between what is relevant and what is noise, between what is serious and what is mere play.
Stanley Fish
1848 6 1 3723 29038 02 4 10ISABE*_N 1 5 165 20779701 69 5 0 1 FFFFFF77AAAAAAAAAAAA 99 0 790044118480601 3714N 6937W NW 51 NW 57 NW 51 201A.STEWART NEW BEDFORD WHALING VOYAGE 2620 199
"We begin to feel, Monsieur L'Abbe," answered the vicar, with some asperity, "that a Continental war entered into for the defence of an ally who was unwilling to defend himself, and for the restoration of a royal family, nobility, and priesthood who tamely abandoned their own rights, is a burden too much even for the resources of this country."Walter Scott, Waverley
queryA = list("database"="RMP","search_limits" = list("gender"=list("female"),"rHelpful" = list("$lte" = list(2)),"department"=list("Computer Science"),"date_year" = list("$gte"=list(2005))),counttype=list("WordCount"),groups=list("unigram")) queryB = queryA queryB[['search_limits']][['gender']] = list("male") goodwords = compareTwoLanguages(queryA,queryB) historyPositive=goodwords %.% filter(!unigram %in% genderStopwords) %.% filter(-abs(dunning)0,"Female","Male")) ggplot(historyPositive) + geom_bar(aes(y=dunning,x=reorder(unigram,abs(dunning)),fill=genderBias),stat="identity") + coord_flip() + labs(x="Word",y="Overrepresentation (Dunning Log score)") + theme(axis.text=theme_text(size=12)) + labs(title="Gender-specific words in negative CS reviews")
Everyone knows what attention is. It is the taking possession by the mind, in clear and vivid form, of one out of what seem several simultaneously possible objects or trains of thought.
William James, Principles of Psychology
Everyone knows what attention is. It is the taking possession by the mind, in clear and vivid form, of one out of what seem several simultaneously possible objects or trains of thought. Focalization, concentration, of consciousness are of its essence.
William James, Principles of Psychology
Those who lay stress on the unity of mind regard it as almost evident a priori, that but one concept can occupy the focus of attention at a time... Attention, like the lens of the eye, is now [ie, first] accommodated to act as an instrument of near focus, high magnification, but limited aperture, and again [then] as one of distant focus, small magnifying-power, but wide range
Can the Mind attend to two things at once? Science: July 18, 1887
![]() |
In His mercy, around 1955, God led men to invent magnetic tapes. |
![]() |
Topic ModelingNetwork AnalysisGeospatial visualization/Named Entity Recognition |
|
Relationships among novels Matthew Jockers and Elijah Meeks |
![]() |
Topic ModelingNetwork AnalysisGeospatial visualization/Named Entity Recognition |
|
Relationships among novels Matthew Jockers and Elijah Meeks |
Whatever vision of the digital humanities is proclaimed, it will have little place for the likes of me and for the kind of criticism I practice: a criticism that narrows meaning to the significances designed by an author, a criticism that generalizes from a text as small as half a line, a criticism that insists on the distinction between the true and the false, between what is relevant and what is noise, between what is serious and what is mere play.
Stanley Fish